At a Glance
- Tasks: Lead a team to build cutting-edge ML platforms for 3D dental applications.
- Company: Join Dandy, a tech-driven company revolutionising the dental industry.
- Benefits: Comprehensive benefits including healthcare, mental health support, and generous paid time off.
- Why this job: Make a real impact in a growing field with innovative technology and a supportive team.
- Qualifications: 5+ years in machine learning, leadership experience, and strong Python skills required.
- Other info: Dandy values diversity and inclusivity, fostering a culture of authenticity.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Dandy is transforming the massive and antiquated dental industryâan industry worth over $200B. Backed by some of the world's leading venture capital firms, we are on an ambitious mission to simplify and modernize every function of the dental practice through technology. As we expand our reach globally, Dandy is building the operating system for dental offices around the worldâempowering clinicians and their teams with technology, innovation, and worldâclass support to achieve more for their practices, their people, and their patients.
In the past 3 years, Dandy has built the leading digitalâfirst custom dental appliance manufacturer. As we scale to our next level of growth, we are establishing a worldâclass Machine Learning & Computer Vision team to enhance our 3D dental platform and automate many of the humanâdriven processes in our manufacturing today.
What You'll Do
- Lead execution of the ML roadmap, with a focus on building scalable, productionâgrade ML Platform infrastructure for 3D deep learning and computer vision applications.
- Build and lead a highâperforming ML Platform team, with an emphasis on reliability, reproducibility, and efficient model lifecycle management.
- Partner with product, engineering, and research stakeholders to translate ML innovations into robust, deployable systems that support key business objectives.
- Oversee the endâtoâend deployment of computer vision models that extract structure from complex 3D scan data, ensuring production readiness and performance at scale.
- Drive experimentation and implementation of SOTA techniques for 3D generative AI, while ensuring they are integrated into robust ML Platform workflows.
- Collaborate crossâfunctionally to identify pain points and bottlenecks in current ML pipelines and deliver improvements through automation and tooling.
- Manage largeâscale data pipelines, versioning, and labeling workflows to support both generalized and fineâtuned model development.
- Define and implement rigorous evaluation and monitoring strategies to maintain high model quality, mitigate drift, and ensure reliability in production.
- Establish and maintain best practices for CI/CD of ML models, including model versioning, rollback mechanisms, and monitoring for performance and integrity.
What We're Looking For
- Bachelor's in Computer Science, Electrical Engineering, Robotics, or a related field.
- 5+ years of industry experience in applied machine learning, with at least 2+ years in a leadership or management role.
- Deep understanding of ML Platform best practices: CI/CD for ML, model deployment, observability, and lifecycle management.
- Strong people management skills with a track record of team development, hiring mentorship, and retention.
- Strong Python skills and experience with ML frameworks (PyTorch, TensorFlow, scikitâlearn).
- Handsâon experience with model optimization, hyperparameter tuning, evaluation, monitoring, and benchmarking.
- Familiarity with Docker, Kubernetes, Kubeflow, and cloud platforms (AWS, GCP, or Azure); preference for GCP tools (Vertex AI, BigQuery, Dataflow, GKE).
- Demonstrated ability to lead crossâfunctional efforts across product, engineering, research, and operations.
Benefits
For fullâtime positions, Dandy offers a wide range of bestâinâclass, comprehensive, and inclusive benefits tailored to each country where we operate. Our local benefits packages typically include healthcare, dental, mental health support, parental planning resources, retirement savings options, and generous paid time offâensuring our team members are supported no matter where they live and work.
Equal Opportunity Employer
Dandy is proud to be an equalâopportunity employer. We are committed to building a diverse and inclusive culture that celebrates authenticity to win as one. We do not discriminate on the basis of race, religion, color, national origin, gender identity, sexual orientation, age, marital status, disability, protected veteran status, citizenship or immigration status, or any other legally protected characteristics. Dandy also fully complies with the Americans with Disabilities Act (ADA). We are dedicated to embracing challenges and creating an accessible, inclusive workplace for all individuals. If you require any accommodations for your interview or have any questions beforehand, rest assured that we will do everything we can to meet your needs.
Engineering Manager, Machine Learning Platform in London employer: Dandy
Contact Detail:
Dandy Recruiting Team
StudySmarter Expert Advice đ€«
We think this is how you could land Engineering Manager, Machine Learning Platform in London
âšTip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Dandy. A friendly chat can open doors and give you insights that a job description just can't.
âšTip Number 2
Prepare for the interview by diving deep into Dandy's mission and values. Show us how your experience aligns with transforming the dental industry through techâit's all about making that connection!
âšTip Number 3
Practice your storytelling skills. We want to hear about your past projects and how you've led teams in machine learning. Make it engaging and relevant to the role you're applying for.
âšTip Number 4
Don't forget to apply through our website! Itâs the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining the Dandy team.
We think you need these skills to ace Engineering Manager, Machine Learning Platform in London
Some tips for your application đ«Ą
Tailor Your CV: Make sure your CV is tailored to the Engineering Manager role. Highlight your experience in machine learning and leadership, and donât forget to mention any relevant projects that showcase your skills in building scalable ML platforms.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about transforming the dental industry with technology. Share specific examples of how you've led teams and driven innovation in your previous roles.
Showcase Your Technical Skills: We want to see your technical prowess! Be sure to include your experience with Python, ML frameworks, and cloud platforms like GCP. Mention any hands-on experience you have with model optimization and deployment as well.
Apply Through Our Website: Donât forget to apply through our website! Itâs the best way for us to receive your application and ensures youâre considered for the role. Plus, it gives you a chance to explore more about Dandy and our mission!
How to prepare for a job interview at Dandy
âšKnow Your ML Stuff
Make sure you brush up on your machine learning concepts, especially those related to 3D deep learning and computer vision. Be ready to discuss specific projects you've worked on and how you tackled challenges in model deployment and lifecycle management.
âšShowcase Leadership Skills
As an Engineering Manager, you'll need to demonstrate your people management skills. Prepare examples of how you've developed teams, mentored individuals, and led cross-functional collaborations. Highlight your experience in building high-performing teams and driving successful outcomes.
âšUnderstand Dandy's Mission
Familiarise yourself with Dandy's mission to modernise the dental industry. Think about how your expertise in ML can contribute to their goals. Be prepared to discuss how you can help enhance their 3D dental platform and automate processes effectively.
âšPrepare for Technical Questions
Expect technical questions around CI/CD for ML, model optimisation, and cloud platforms like GCP. Brush up on your Python skills and be ready to explain your experience with frameworks like PyTorch and TensorFlow. Practising coding problems or system design scenarios can also be beneficial.